基于Web Services的分布式聚类算法设计与研究
首发时间:2009-03-25
摘要:分布式聚类是基于分布式数据和计算资源,对大规模分布的数据进行聚类分析,是分布式数据挖掘的一个重要研究领域。Web Services是解决分布式问题的理想的、主要的技术。本文首先对经典的分布式聚类算法DBDC进行分析,并提出改进方法,然后将Web Serives技术应用于分布式聚类算法,把局部聚类算法和全局聚类算法封装成Web服务的形式, 并设计出一种基于Web Services的分布式聚类分析的体系架构。
关键词: Web Services 分布式聚类分析 数据挖掘 DBDC
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Study and Design of Distributed Clustering based on Web Service
Abstract:Distributed clustering is, based on distributed data and computing resources, a kind of clustering analysis for large-scale, distributed data, and an important topic in distributed data mining field. Web Services is an ideal chief technology to resolve the distributed issue. This paper firstly analyzes a classic distributed clustering algorithm named DBDC (Density Based Distributed Clustering) and proposes some improvement. Then it applies Web Services on distributed clustering analysis, and converts the local clustering algorithm and global clustering algorithm into Web Services. Finally, it designs an architecture of distributed clustering analysis based on Web Services.
Keywords: Web Services Distributed Clustering Data Mining DBDC
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